Parallel processing of visual space by neighboring neurons in mouse visual cortex

Spencer Lavere Smith (1) , Michael Hausser (1)

1 WIBR - Wolfson Institute for Biomedical Research

Visual cortex exhibits smooth retinotopic organization on the macroscopic scale, but it is unknown how receptive fields are organized at the level of neighboring neurons. This information is crucial for discriminating among models of visual cortex. We used in vivo two-photon calcium imaging to independently map ON and OFF receptive field subregions of local populations of layer 2/3 neurons in mouse visual cortex. We found that receptive field subregions are often precisely shared among multiple neighboring neurons. Furthermore, large subregions appear to be assembled from multiple smaller, non-overlapping subregions of other neurons in the same local population. These experiments provide the first characterization of the diversity of receptive fields in a dense local network of visual cortex, and reveal elementary units of receptive field organization. Our results suggest that a limited pool of afferent receptive fields is available to a local population of neurons, and reveal new organizational principles for the neural circuitry of the mouse visual cortex.

Mots clés: Sensory Systems; Neurophysiology

Spencer Lavere Smith, Michael Hausser. Parallel processing of visual space by neighboring neurons in mouse visual cortex. Nature Neuroscience, 2010, ⟨10.1038/nn.2620⟩. ⟨hal-00565901⟩